/**
 * Copyright 2023 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_CORE_OPS_NORMALIZE_TUPLE_INDEX_H_
#define MINDSPORE_CORE_OPS_NORMALIZE_TUPLE_INDEX_H_

#include <vector>
#include "ops/base_operator.h"
#include "ops/op_utils.h"
#include "utils/check_convert_utils.h"
#include "include/common/utils/utils.h"
#include "mindapi/src/helper.h"

namespace mindspore {
namespace ops {
constexpr auto kNameNormalizeTupleIndex = "NormalizeTupleIndex";
/// \brief Sequence addition operation
class MIND_API NormalizeTupleIndex : public BaseOperator {
 public:
  MIND_API_BASE_MEMBER(NormalizeTupleIndex);
  /// \brief Constructor.
  NormalizeTupleIndex() : BaseOperator(kNameNormalizeTupleIndex) {}
  /// \brief Init function.
  void Init() const {}
  static size_t NormalizeDimIndex(const ShapeVector &data_shape, size_t dim_index,
                                  const std::vector<int64_t> &tuple_index_types, size_t expand_dims_mask);
  static int64_t CheckRange(int64_t index, int64_t dim_size);
};
}  // namespace ops
}  // namespace mindspore

#endif  // MINDSPORE_CORE_OPS_NORMALIZE_TUPLE_INDEX_H_
